from sklearn_benchmarks.reporting.hp_match import HpMatchReporting
reporting = HpMatchReporting(other_library="onnx", config="config.yml", log_scale=True)
reporting.make_report()
We assume here there is a perfect match between the hyperparameters of both librairies. For a given set of parameters and a given dataset, we compute the speedup
time scikit-learn / time onnx. For instance, a speedup of 2 means that onnx is twice as fast as scikit-learn for a given set of parameters and a given dataset.
KNeighborsClassifier_brute_force¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 2.037486 | 0.160038 | NaN | ... | brute | -1 | 1 | 0.663 | 0.316630 | 0.007363 | 1.000 | 6.434903 | 6.436643 | 0.337 |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | e70d8e7886766d41f30889506baa1e67 | 2cf49829391aa7891e877f2ed070adf0 | 0.021217 | 0.001287 | NaN | ... | brute | -1 | 1 | 1.000 | 17.037362 | 0.208360 | 0.757 | 0.001245 | 0.001245 | 0.243 |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 22d5eac4a4146149b35eae6914921514 | 2cf49829391aa7891e877f2ed070adf0 | 2.840747 | 0.033275 | NaN | ... | brute | -1 | 5 | 0.757 | 17.163153 | 0.117021 | 0.882 | 0.165514 | 0.165518 | 0.125 |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 2.063801 | 0.004240 | NaN | ... | brute | 1 | 100 | 0.882 | 0.324414 | 0.005377 | 1.000 | 6.361627 | 6.362501 | 0.118 |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 16f94fc93942ff7ece860c9b0f64645f | 2cf49829391aa7891e877f2ed070adf0 | 0.019551 | 0.000110 | NaN | ... | brute | 1 | 100 | 1.000 | 17.362923 | 0.159958 | 0.757 | 0.001126 | 0.001126 | 0.243 |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2d5f2b2c02d77766434d9e5033b4a76c | 2cf49829391aa7891e877f2ed070adf0 | 2.858204 | 0.019720 | NaN | ... | brute | -1 | 100 | 0.882 | 17.520432 | 0.029419 | 0.663 | 0.163135 | 0.163136 | 0.219 |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 2.064481 | 0.028765 | NaN | ... | brute | 1 | 5 | 0.757 | 0.245264 | 0.004166 | 1.000 | 8.417390 | 8.418604 | 0.243 |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | efac583623711d395ddae7a1e881ff68 | 2cf49829391aa7891e877f2ed070adf0 | 0.019926 | 0.000144 | NaN | ... | brute | 1 | 5 | 1.000 | 3.715633 | 0.014216 | 0.922 | 0.005363 | 0.005363 | 0.078 |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | b79d63bb7670c492de5c3befac58fe29 | 2cf49829391aa7891e877f2ed070adf0 | 1.183130 | 0.005814 | NaN | ... | brute | 1 | 1 | 0.663 | 3.756712 | 0.020056 | 0.929 | 0.314938 | 0.314942 | 0.266 |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 1.815722 | 0.028080 | NaN | ... | brute | -1 | 1 | 0.896 | 0.243265 | 0.003841 | 1.000 | 7.463982 | 7.464912 | 0.104 |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | e70d8e7886766d41f30889506baa1e67 | 88843f54689e3271092f70126e1de585 | 0.008757 | 0.004839 | NaN | ... | brute | -1 | 1 | 1.000 | 3.712156 | 0.011406 | 0.922 | 0.002359 | 0.002359 | 0.078 |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 22d5eac4a4146149b35eae6914921514 | 88843f54689e3271092f70126e1de585 | 2.707666 | 0.022798 | NaN | ... | brute | -1 | 5 | 0.922 | 3.765046 | 0.017118 | 0.896 | 0.719159 | 0.719166 | 0.026 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.147 | 0.0 | -1 | 1 | 17.404 | 0.036 | 0.663 | 0.001 | 0.001 | See | See |
| 3 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.193 | 0.0 | -1 | 5 | 0.321 | 0.004 | 1.000 | 0.035 | 0.035 | See | See |
| 6 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.139 | 0.0 | 1 | 100 | 17.075 | 0.033 | 0.882 | 0.001 | 0.001 | See | See |
| 9 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.016 | 0.006 | 5.082 | 0.0 | -1 | 100 | 0.322 | 0.005 | 1.000 | 0.049 | 0.049 | See | See |
| 12 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.221 | 0.0 | 1 | 5 | 3.769 | 0.014 | 0.896 | 0.003 | 0.003 | See | See |
| 15 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 100 | 0.011 | 0.000 | 7.145 | 0.0 | 1 | 1 | 0.243 | 0.004 | 1.000 | 0.046 | 0.046 | See | See |
| 18 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.376 | 0.0 | -1 | 1 | 3.751 | 0.013 | 0.929 | 0.001 | 0.001 | See | See |
| 21 | KNeighborsClassifier_brute_force | fit | 100000 | 100000 | 2 | 0.004 | 0.000 | 0.370 | 0.0 | -1 | 5 | 0.244 | 0.004 | 1.000 | 0.018 | 0.018 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.037 | 0.160 | 0.000 | 0.002 | -1 | 1 | 0.317 | 0.007 | 1.000 | 6.435 | 6.437 | See | See |
| 2 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.021 | 0.001 | 0.000 | 0.021 | -1 | 1 | 17.037 | 0.208 | 0.757 | 0.001 | 0.001 | See | See |
| 4 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.841 | 0.033 | 0.000 | 0.003 | -1 | 5 | 17.163 | 0.117 | 0.882 | 0.166 | 0.166 | See | See |
| 5 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.023 | 0.001 | 0.000 | 0.023 | -1 | 5 | 0.324 | 0.006 | 1.000 | 0.071 | 0.071 | See | See |
| 7 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.064 | 0.004 | 0.000 | 0.002 | 1 | 100 | 0.324 | 0.005 | 1.000 | 6.362 | 6.363 | See | See |
| 8 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.020 | 0.000 | 0.000 | 0.020 | 1 | 100 | 17.363 | 0.160 | 0.757 | 0.001 | 0.001 | See | See |
| 10 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.858 | 0.020 | 0.000 | 0.003 | -1 | 100 | 17.520 | 0.029 | 0.663 | 0.163 | 0.163 | See | See |
| 11 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.024 | 0.004 | 0.000 | 0.024 | -1 | 100 | 0.318 | 0.007 | 1.000 | 0.076 | 0.076 | See | See |
| 13 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 2.064 | 0.029 | 0.000 | 0.002 | 1 | 5 | 0.245 | 0.004 | 1.000 | 8.417 | 8.419 | See | See |
| 14 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.020 | 0.000 | 0.000 | 0.020 | 1 | 5 | 3.716 | 0.014 | 0.922 | 0.005 | 0.005 | See | See |
| 16 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 100 | 1.183 | 0.006 | 0.001 | 0.001 | 1 | 1 | 3.757 | 0.020 | 0.929 | 0.315 | 0.315 | See | See |
| 17 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 100 | 0.018 | 0.000 | 0.000 | 0.018 | 1 | 1 | 0.243 | 0.005 | 1.000 | 0.076 | 0.076 | See | See |
| 19 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 1.816 | 0.028 | 0.000 | 0.002 | -1 | 1 | 0.243 | 0.004 | 1.000 | 7.464 | 7.465 | See | See |
| 20 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.009 | 0.005 | 0.000 | 0.009 | -1 | 1 | 3.712 | 0.011 | 0.922 | 0.002 | 0.002 | See | See |
| 22 | KNeighborsClassifier_brute_force | predict | 100000 | 1000 | 2 | 2.708 | 0.023 | 0.000 | 0.003 | -1 | 5 | 3.765 | 0.017 | 0.896 | 0.719 | 0.719 | See | See |
| 23 | KNeighborsClassifier_brute_force | predict | 100000 | 1 | 2 | 0.006 | 0.002 | 0.000 | 0.006 | -1 | 5 | 0.245 | 0.004 | 1.000 | 0.023 | 0.023 | See | See |
KNeighborsClassifier_kd_tree¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | algorithm | n_jobs | n_neighbors | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.795165 | 0.983172 | NaN | ... | kd_tree | -1 | 1 | 0.929 | 2.664052 | 0.209325 | 1.000 | 0.298480 | 0.299400 | 0.071 |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | fe8267e25dadb302ed498e50fabf7ef4 | 1eb6cf1a720a225efb91df0b529b0510 | 0.002597 | 0.000418 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 108.072549 | 0.000000 | 0.946 | 0.000024 | 0.000024 | 0.054 |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | dc74b969bf622bc24ba3bc62c980983b | 1eb6cf1a720a225efb91df0b529b0510 | 1.050018 | 0.315225 | NaN | ... | kd_tree | -1 | 5 | 0.946 | 108.741033 | 0.000000 | 0.951 | 0.009656 | 0.009656 | 0.005 |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 5.603861 | 0.406256 | NaN | ... | kd_tree | 1 | 100 | 0.951 | 2.665895 | 0.155102 | 1.000 | 2.102056 | 2.105611 | 0.049 |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 41accfcdcd5c50784bedf6164b63de99 | 1eb6cf1a720a225efb91df0b529b0510 | 0.003149 | 0.000985 | NaN | ... | kd_tree | 1 | 100 | 1.000 | 104.111674 | 0.000000 | 0.946 | 0.000030 | 0.000030 | 0.054 |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 022f7445d43bb1dbc24dc3106c03cb93 | 1eb6cf1a720a225efb91df0b529b0510 | 3.127008 | 0.108438 | NaN | ... | kd_tree | -1 | 100 | 0.951 | 108.824137 | 0.000000 | 0.929 | 0.028735 | 0.028735 | 0.022 |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 1.678828 | 0.200153 | NaN | ... | kd_tree | 1 | 5 | 0.946 | 0.004532 | 0.000168 | 1.000 | 370.399824 | 370.652988 | 0.054 |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 84622ba45e941db642965553529e1941 | 1eb6cf1a720a225efb91df0b529b0510 | 0.001475 | 0.000403 | NaN | ... | kd_tree | 1 | 5 | 1.000 | 0.035546 | 0.000614 | 0.911 | 0.041510 | 0.041516 | 0.089 |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | a9455565db1d8e052a783317c99744ff | 1eb6cf1a720a225efb91df0b529b0510 | 0.956498 | 0.273766 | NaN | ... | kd_tree | 1 | 1 | 0.929 | 0.061317 | 0.002328 | 0.894 | 15.599130 | 15.610365 | 0.035 |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.023352 | 0.010450 | NaN | ... | kd_tree | -1 | 1 | 0.891 | 0.004551 | 0.000100 | 1.000 | 5.131217 | 5.132450 | 0.109 |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | fe8267e25dadb302ed498e50fabf7ef4 | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.001989 | 0.000219 | NaN | ... | kd_tree | -1 | 1 | 1.000 | 0.035106 | 0.000279 | 0.911 | 0.056646 | 0.056648 | 0.089 |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | dc74b969bf622bc24ba3bc62c980983b | edf7cb014c2c0910e1c3aaaf8ae633f2 | 0.020542 | 0.000941 | NaN | ... | kd_tree | -1 | 5 | 0.911 | 0.034851 | 0.000510 | 0.891 | 0.589424 | 0.589487 | 0.020 |
12 rows × 22 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.133 | 0.035 | 0.026 | 0.0 | -1 | 1 | 109.254 | 0.000 | 0.929 | 0.029 | 0.029 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.764 | 0.040 | 0.021 | 0.0 | -1 | 5 | 2.643 | 0.157 | 1.000 | 1.424 | 1.427 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.838 | 0.074 | 0.021 | 0.0 | 1 | 100 | 108.933 | 0.000 | 0.951 | 0.035 | 0.035 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.550 | 0.091 | 0.023 | 0.0 | -1 | 100 | 2.655 | 0.136 | 1.000 | 1.337 | 1.339 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.568 | 0.076 | 0.022 | 0.0 | 1 | 5 | 0.041 | 0.009 | 0.891 | 86.659 | 88.840 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | 3.754 | 0.043 | 0.021 | 0.0 | 1 | 1 | 0.005 | 0.000 | 1.000 | 829.796 | 830.012 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.001 | 0.001 | 0.017 | 0.0 | -1 | 1 | 0.060 | 0.000 | 0.894 | 0.015 | 0.015 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000 | 1000 | 2 | 0.000 | 0.000 | 0.034 | 0.0 | -1 | 5 | 0.005 | 0.000 | 1.000 | 0.104 | 0.104 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | iteration_throughput | latency | n_jobs | n_neighbors | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.795 | 0.983 | 0.000 | 0.001 | -1 | 1 | 2.664 | 0.209 | 1.000 | 0.298 | 0.299 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 1 | 108.073 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.050 | 0.315 | 0.000 | 0.001 | -1 | 5 | 108.741 | 0.000 | 0.951 | 0.010 | 0.010 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 2.653 | 0.147 | 1.000 | 0.001 | 0.001 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 5.604 | 0.406 | 0.000 | 0.006 | 1 | 100 | 2.666 | 0.155 | 1.000 | 2.102 | 2.106 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.003 | 0.001 | 0.000 | 0.003 | 1 | 100 | 104.112 | 0.000 | 0.946 | 0.000 | 0.000 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 3.127 | 0.108 | 0.000 | 0.003 | -1 | 100 | 108.824 | 0.000 | 0.929 | 0.029 | 0.029 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 2.676 | 0.153 | 1.000 | 0.002 | 0.002 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 1.679 | 0.200 | 0.000 | 0.002 | 1 | 5 | 0.005 | 0.000 | 1.000 | 370.400 | 370.653 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 0.036 | 0.001 | 0.911 | 0.042 | 0.042 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | 0.956 | 0.274 | 0.000 | 0.001 | 1 | 1 | 0.061 | 0.002 | 0.894 | 15.599 | 15.610 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 0.005 | 0.000 | 1.000 | 0.188 | 0.188 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.023 | 0.010 | 0.001 | 0.000 | -1 | 1 | 0.005 | 0.000 | 1.000 | 5.131 | 5.132 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 0.035 | 0.000 | 0.911 | 0.057 | 0.057 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000 | 1000 | 2 | 0.021 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.035 | 0.001 | 0.891 | 0.589 | 0.589 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000 | 1 | 2 | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 0.004 | 0.000 | 1.000 | 0.423 | 0.423 | See | See |
HistGradientBoostingClassifier_best¶onnx (1.10.1) vs. scikit-learn (1.0.dev0)
All estimators share the following parameters: learning_rate=0.01, n_iter_no_change=10.0, max_leaf_nodes=100.0, max_bins=255.0, min_samples_leaf=100.0, max_iter=300.0.
| estimator | function | n_samples_train | n_samples | n_features | parameters_digest | dataset_digest | mean_duration_sklearn | std_duration_sklearn | n_iter | ... | max_leaf_nodes | min_samples_leaf | n_iter_no_change | accuracy_score_sklearn | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | diff_accuracy_scores | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 25b9f14bed7dd5d830c6ccd4dfebbf0c | 8c8fffa8ec4b2d8de833421f9e32beab | 0.114318 | 0.001786 | 300 | ... | 100 | 100 | 10 | 0.824 | 0.375916 | 0.009468 | 1.0 | 0.304104 | 0.304201 | 0.176 |
1 rows × 25 columns
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | HistGradientBoostingClassifier_best | fit | 100000 | 100000 | 100 | 85.574 | 0.0 | 300 | 0.001 | 0.001 | 0.454 | 0.021 | 0.824 | 188.313 | 188.512 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | mean_duration_sklearn | std_duration_sklearn | n_iter | iteration_throughput | latency | mean_duration_onnx | std_duration_onnx | accuracy_score_onnx | speedup | std_speedup | sklearn_profiling | onnx_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | HistGradientBoostingClassifier_best | predict | 100000 | 1000 | 100 | 0.114 | 0.002 | 300 | 0.007 | 0.0 | 0.376 | 0.009 | 1.0 | 0.304 | 0.304 | See | See |